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作 者:韩育英 曹刘菁 柯晓[3] 彭军 沈阿灵 陈友琴[3,4] HAN Yuying;CAO Liujing;KE Xiao;PENG Jun;SHEN Aling;CHEN Youqin(Academy of Integrative Medicine,Fujian University of Traditional Chinese Medicine,Fuzhou,Fujian 350122,China;Fujian Key Laboratory of Integrative Medicine in Geriatrics,Fuzhou,Fujian 350122,China;The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine,Fuzhou,Fujian 350003,China;Case Western Reserve University School of Medicine,Cleveland,Ohio 44106,USA)
机构地区:[1]福建中医药大学中西医结合研究院,福建福州350122 [2]福建省中西医结合老年性疾病重点实验室,福建福州350122 [3]福建中医药大学附属第二人民医院,福建福州350003 [4]美国凯斯西储大学医学院,俄亥俄州克利夫兰44106
出 处:《福建中医药》2022年第2期28-34,共7页Fujian Journal of Traditional Chinese Medicine
基 金:福建省自然科学基金项目(2020J06026);福建省百人计划项目(2018)。
摘 要:目的 采用网络药理学探讨清化肠饮治疗溃疡性结肠炎(UC)作用机制。方法 运用TCMSP数据库筛选清化肠饮的活性成分及其作用靶点;通过DisGeNET和GeneCards数据库筛选疾病作用靶点,与活性成分作用靶点相映射得到二者共同靶点;将共同靶点导入String数据库中构建靶点相互作用(PPI)网络图,根据相互作用关系大小筛选出关键靶点;运用Cytoscape 3.7.2软件绘制“活性成分-共同靶点”网络图,并根据度值筛选出关键活性成分;借助DAVID数据库对共同靶点进行GO和KEGG富集分析。结果 经筛选得到清化肠饮活性成分75个,靶点241个,UC疾病靶点5 168个,共获得活性成分和疾病共同靶点167个,GO和KEGG富集分析得到214个生物学过程和87条信号通路。清化肠饮治疗UC关键活性成分为槲皮素、木犀草素、山柰酚等,核心靶点为JUN、TP53、AKT1、RELA等,GO生物学过程包括RNA聚合酶Ⅱ启动子转录的正调控、信号转导、凋亡过程的负调控、细胞增殖的正调控等,KEGG信号通路包括PI3K/AKT信号通路包括PI3K/AKT信号通路、TNF信号通路、MAPK信号通路、Toll样受体信号通路、HIF-1信号通路等。结论 清化肠饮可能是通过调节免疫应答、炎症反应、氧化应激和细胞凋亡等多种途径发挥治疗UC的作用。Objective:To explore the mechanism of Qinghuachang Yin(QHCY) in the treatment of ulcerative colitis(UC) based on network pharmacology. Methods: The TCMSP database was used to obtain effective active components and target proteins of QHCY. The targets of disease were downloaded from DisGeNET and GeneCards database, and the common targets were obtained by mapping with the drug targets. The common targets were imported into the String database to construct the protein-protein interaction(PPI) network of targets interaction, and the key targets were identified according to the size of interaction relationship. Cytoscape 3.7.2 software was used to construct the network of the active ingredients-protein targets, and the key active components were selected according to their degrees. With the help of DAVID database, the action targets were analyzed by GO enrichment analysis and KEGG pathway analysis. Results: There were 75 active components of QHCY were screened out, 241 medicinal targets, 5168 targets of UC,167 drug and disease intersection targets, 214 biological processes and 87 enriched pathways were obtained. The key active components of QHCY in treating UC were quercetin, luteolin and kaempferol, etc. The key targets were JUN, TP53, AKT1, RELA, etc. The biological process of GO included the positive regulation of RNA polymerase Ⅱ promoter transcription, signal transduction, negative regulation of apoptosis and positive regulation of cell proliferation, etc. KEGG signaling pathway included PI3K-AKT, TNF, MAPK,TLR and HIF-1 signal pathway, etc. Conclusion: QHCY may play a role in the treatment of UC by regulating immune response, reducing the inflammatory response, reducing oxidative stress and inhibiting cell apoptosis.
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